Dev & Engineering · Engineering, IT & AI
Should you build or buy Change Data Capture (CDC)?
Change Data Capture (CDC) software reads the transaction logs of databases — PostgreSQL WAL, MySQL binlog, MongoDB oplog — and streams row-level changes to downstream systems in near real time. It moves data from source of record into data warehouses, analytics pipelines, caches, and AI feature stores without polling or scheduled batch jobs, preserving the order and context of every insert, update, and delete.
The build-vs-buy decision for Change Data Capture turns on whether your team's Kafka operations capability makes Debezium a natural self-build versus paying for managed CDC hosting, and how consequential low-latency data propagation has become for the AI workloads consuming your change stream; the specifics of your ops depth and downstream architecture decide it.
Build it, buy it, or bridge?
When building makes sense
Building CDC on Debezium makes sense for any team already running Kafka or comfortable operating it. Debezium is battle-tested, handles PostgreSQL, MySQL, MongoDB, and other major databases, and runs in production at organizations of all sizes without vendor involvement. The cost divergence against managed Fivetran HVR pricing is substantial — Debezium is free on infrastructure you already pay for, while HVR runs at enterprise contract pricing. Estuary Flow wraps Debezium with a managed interface for teams that want the connector without the Kafka overhead. The AI stakes have also raised the build case: real-time data feeding AI pipelines requires low-latency change propagation, and owning the CDC pipeline gives control over exactly how changes flow into feature stores and model inputs. Teams with the ops depth should own this layer.
When buying makes sense
Buying managed CDC earns its keep when the team lacks Kafka operational experience and when the priority is getting CDC running quickly with managed support rather than owning the pipeline infrastructure. Qlik Replicate and Striim serve enterprise environments where heterogeneous database support — CDC across SQL Server, Oracle, and SAP in the same organization — and compliance around data replication are purchasing requirements. Fivetran's managed reliability is worth its premium for teams that can't afford CDC connector downtime affecting downstream analytics. The managed CDC case is also stronger when database complexity grows beyond what a single Debezium connector handles cleanly, particularly in environments with mixed database engines or frequent schema changes that require managed connector updates.
The desk read
Debezium changed the CDC calculus before AI entered the picture. It's battle-tested, handles PostgreSQL, MySQL, MongoDB, and other major databases, and runs in production at organizations of all sizes without vendor involvement. Estuary Flow wraps Debezium with a managed interface for teams that want the connector without the Kafka operations overhead. The build case on Debezium is strong for any team already running Kafka or comfortable operating it, and the cost divergence versus managed Fivetran HVR pricing is substantial.
Buying earns its keep when the team lacks Kafka operational experience and when the priority is getting CDC running quickly with managed support rather than owning the pipeline infrastructure. Qlik Replicate and Striim serve enterprise environments where heterogeneous database support and compliance around data replication are purchasing requirements rather than technical ones. The AI shift is about what CDC enables downstream: real-time data in AI pipelines requires low-latency change propagation, which makes the operational reliability of the CDC layer more consequential than it was when batch ETL dominated. That raises the stakes for choosing the right operating model alongside the right connector.
Vendors in Change Data Capture (CDC)
Each file covers what the product is, its funding history, and when the index last verified it alive.
Frequently asked
What is Change Data Capture (CDC)?
Change Data Capture (CDC) software reads the transaction logs of databases and streams row-level changes to downstream systems in near real time — moving inserts, updates, and deletes from a source database into data warehouses, analytics pipelines, caches, and AI feature stores without polling or batch jobs.
When does building Change Data Capture (CDC) make sense?
Building on Debezium makes sense for teams with Kafka ops experience. Debezium is free, battle-tested across major databases, and in production at organizations of all sizes. The cost divergence against Fivetran HVR enterprise pricing is substantial, and owning the CDC layer becomes more important as AI pipelines depend on low-latency change propagation.
When does buying Change Data Capture (CDC) make sense?
Buying earns its keep when the team lacks Kafka operations experience, when heterogeneous database support across mixed engines is a real requirement, or when compliance around data replication demands a vendor-managed reliability guarantee. Estuary Flow offers a middle path: managed Debezium infrastructure without full enterprise CDC pricing.
What are the main Change Data Capture (CDC) vendors?
Representative vendors include Debezium (open source), Fivetran (HVR engine), Striim, Estuary Flow. B4 Pro scores the full set.